Mplus VERSION 8.4
MUTHEN & MUTHEN
12/06/2020  11:19 PM

INPUT INSTRUCTIONS

  Title:
    Stata2Mplus conversion for C:\Users\ts139c\Dropbox\Grants and Applications\ESRC\Bang_Pet
    List of variables converted shown below

    idmg :
    weight :
    chaos1 :
    chaos2 :
    chaos3 :
    chaos4 :
    chaos5 :
    chaos6 :
    chaos7 :
    chaos8 :
    dark1 :
    dark2 :
    dark3 :
    dark4 :
    dark5 :
    dark6 :
    dark7 :
    dark8 :
    dark10 :
    dark11 :
    dark12 :
    group :

  Data:
    File is C:\Users\ts139c\Dropbox\Grants and Applications\ESRC\
  Bang_Peterson\Final_Replication_R\chaosstacked.dat ;
  Variable:
    Names are
       idmg weight chaos1 chaos2 chaos3 chaos4 chaos5 chaos6 chaos7 chaos8
       dark1 dark2 dark3 dark4 dark5 dark6 dark7 dark8 dark10 dark11 dark12
       group;
    Usevariables are chaos1 chaos2 chaos3 chaos4 chaos5 chaos6 chaos7;

    Missing are all (-1234);
    Weight is weight;
    idvariable is idmg;

     classes=g(4) c(4);
           knownclass= g (group=1 group=2 group=3 group=4)
  Analysis:


   Estimator is MLR;
      Type=mixture;
      starts 300 300;
    Model:
      %overall%
      c on g;

      %g#1.c#1%
      [chaos1*1.15] (1);
      [chaos2*1.3] (2);
      [chaos3*1.2] (3);
      [chaos4*1.85] (4);
      [chaos5*2.1] (5);
      [chaos6*1.4] (6);
      [chaos7*1.1] (7);

      %g#2.c#1%
       [chaos1*1.15] (1);
      [chaos2*1.3] (2);
      [chaos3*1.2] (3);
      [chaos4*1.85] (4);
      [chaos5*2.1] (5);
      [chaos6*1.4] (6);
      [chaos7*1.1] (7);

      %g#3.c#1%
       [chaos1*1.15] (1);
      [chaos2*1.3] (2);
      [chaos3*1.2] (3);
      [chaos4*1.85] (4);
      [chaos5*2.1] (5);
      [chaos6*1.4] (6);
      [chaos7*1.1] (7);



       %g#4.c#1%
      [chaos1*1.15] (1);
      [chaos2*1.3] (2);
      [chaos3*1.2] (3);
      [chaos4*1.85] (4);
      [chaos5*2.1] (5);
      [chaos6*1.4] (6);
      [chaos7*1.1] (7);

    %g#1.c#2%
      [chaos1*2.2] (8);
      [chaos2*3.5] (9);
      [chaos3*3.7] (10);
      [chaos4*4.5] (11);
      [chaos5*4.5] (12);
      [chaos6*2.5] (13);
      [chaos7*1.3] (14);

      %g#2.c#2%
    [chaos1*2.2] (8);
      [chaos2*3.5] (9);
      [chaos3*3.7] (10);
      [chaos4*4.5] (11);
      [chaos5*4.5] (12);
      [chaos6*2.5] (13);
      [chaos7*1.3] (14);


      %g#3.c#2%
    [chaos1*2.2] (8);
      [chaos2*3.5] (9);
      [chaos3*3.7] (10);
      [chaos4*4.5] (11);
      [chaos5*4.5] (12);
      [chaos6*2.5] (13);
      [chaos7*1.3] (14);


       %g#4.c#2%
    [chaos1*2.2] (8);
      [chaos2*3.5] (9);
      [chaos3*3.7] (10);
      [chaos4*4.5] (11);
      [chaos5*4.5] (12);
      [chaos6*2.5] (13);
      [chaos7*1.3] (14);

    %g#1.c#3%
      [chaos1*3.5](15);
      [chaos2*3.7] (16);
      [chaos3*3.7] (17);
      [chaos4*3.9] (18);
      [chaos5*3.9] (19);
      [chaos6*3.7] (20);
      [chaos7*4.1] (21);

      %g#2.c#3%
       [chaos1*3.5](15);
      [chaos2*3.7] (16);
      [chaos3*3.7] (17);
      [chaos4*3.9] (18);
      [chaos5*3.9] (19);
      [chaos6*3.7] (20);
      [chaos7*4.1] (21);



      %g#3.c#3%
     [chaos1*3.5](15);
      [chaos2*3.7] (16);
      [chaos3*3.7] (17);
      [chaos4*3.9] (18);
      [chaos5*3.9] (19);
      [chaos6*3.7] (20);
      [chaos7*4.1] (21);


       %g#4.c#3%
    [chaos1*3.5](15);
      [chaos2*3.7] (16);
      [chaos3*3.7] (17);
      [chaos4*3.9] (18);
      [chaos5*3.9] (19);
      [chaos6*3.7] (20);
      [chaos7*4.1] (21);


    %g#1.c#4%
      [chaos1*6.05] (22);
      [chaos2*6.1] (23);
      [chaos3*6.1] (24);
      [chaos4*5.9] (25);
      [chaos5*5.7] (26);
      [chaos6*6.1] (27);
      [chaos7*6.7] (28);

      %g#2.c#4%
     [chaos1*6.05] (22);
      [chaos2*6.1] (23);
      [chaos3*6.1] (24);
      [chaos4*5.9] (25);
      [chaos5*5.7] (26);
      [chaos6*6.1] (27);
      [chaos7*6.7] (28);


      %g#3.c#4%
    [chaos1*6.05] (22);
      [chaos2*6.1] (23);
      [chaos3*6.1] (24);
      [chaos4*5.9] (25);
      [chaos5*5.7] (26);
      [chaos6*6.1] (27);
      [chaos7*6.7] (28);

       %g#4.c#4%
    [chaos1*6.05] (22);
      [chaos2*6.1] (23);
      [chaos3*6.1] (24);
      [chaos4*5.9] (25);
      [chaos5*5.7] (26);
      [chaos6*6.1] (27);
      [chaos7*6.7] (28);

    Output:

    Savedata:

    File is classmgaproblike.dat;
    Save= CPROBABILITIES;






*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    Stata2Mplus conversion for C:\Users\ts139c\Dropbox\Grants and Applications\ESRC\Bang_Pete
*** WARNING in MODEL command
  All variables are uncorrelated with all other variables within class.
  Check that this is what is intended.
   2 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




Stata2Mplus conversion for C:\Users\ts139c\Dropbox\Grants and Applications\ESRC\Bang_Pet
List of variables converted shown below

idmg :
weight :
chaos1 :
chaos2 :
chaos3 :
chaos4 :
chaos5 :
chaos6 :
chaos7 :
chaos8 :
dark1 :
dark2 :
dark3 :
dark4 :
dark5 :
dark6 :
dark7 :
dark8 :
dark10 :
dark11 :
dark12 :
group :

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                       12250

Number of dependent variables                                    7
Number of independent variables                                  0
Number of continuous latent variables                            0
Number of categorical latent variables                           2

Observed dependent variables

  Continuous
   CHAOS1      CHAOS2      CHAOS3      CHAOS4      CHAOS5      CHAOS6
   CHAOS7

Categorical latent variables
   G           C

  Knownclass            G

Variables with special functions

  Weight variable       WEIGHT
  ID variable           IDMG

Estimator                                                      MLR
Information matrix                                        OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
  Maximum number of iterations                                 100
  Convergence criterion                                  0.100D-05
Optimization Specifications for the EM Algorithm
  Maximum number of iterations                                 500
  Convergence criteria
    Loglikelihood change                                 0.100D-03
    Relative loglikelihood change                        0.100D-05
    Derivative                                           0.100D-03
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-03
  Basis for M step termination                           ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-03
  Basis for M step termination                           ITERATION
  Maximum value for logit thresholds                            15
  Minimum value for logit thresholds                           -15
  Minimum expected cell size for chi-square              0.100D-01
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Optimization algorithm                                         EMA
Random Starts Specifications
  Number of initial stage random starts                        300
  Number of final stage optimizations                          300
  Number of initial stage iterations                            10
  Initial stage convergence criterion                    0.100D+01
  Random starts scale                                    0.500D+01
  Random seed for generating random starts                       0
Parameterization                                             LOGIT

Input data file(s)
  C:\Users\ts139c\Dropbox\Grants and Applications\ESRC\ Bang_Peterson\Final_Repl
Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns             1
     Number of y missing data patterns           1
     Number of u missing data patterns           0


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT FOR Y


           Covariance Coverage
              CHAOS1        CHAOS2        CHAOS3        CHAOS4        CHAOS5
              ________      ________      ________      ________      ________
 CHAOS1         1.000
 CHAOS2         1.000         1.000
 CHAOS3         1.000         1.000         1.000
 CHAOS4         1.000         1.000         1.000         1.000
 CHAOS5         1.000         1.000         1.000         1.000         1.000
 CHAOS6         1.000         1.000         1.000         1.000         1.000
 CHAOS7         1.000         1.000         1.000         1.000         1.000


           Covariance Coverage
              CHAOS6        CHAOS7
              ________      ________
 CHAOS6         1.000
 CHAOS7         1.000         1.000



UNIVARIATE SAMPLE STATISTICS


     UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS

         Variable/         Mean/     Skewness/   Minimum/ % with                Percentiles
        Sample Size      Variance    Kurtosis    Maximum  Min/Max      20%/60%    40%/80%    Median

     CHAOS1                1.859       1.826       1.000   73.86%       1.000      1.000      1.000
           12250.000       2.570       2.320       7.000    3.42%       1.000      2.000
     CHAOS2                2.148       1.347       1.000   64.69%       1.000      1.000      1.000
           12250.000       3.099       0.646       7.000    4.12%       1.000      4.000
     CHAOS3                2.125       1.360       1.000   62.96%       1.000      1.000      1.000
           12250.000       2.852       0.811       7.000    3.47%       1.000      4.000
     CHAOS4                2.620       0.780       1.000   45.93%       1.000      1.000      2.000
           12250.000       3.241      -0.463       7.000    4.20%       3.000      4.000
     CHAOS5                2.917       0.494       1.000   33.89%       1.000      2.000      3.000
           12250.000       3.046      -0.674       7.000    4.11%       4.000      4.000
     CHAOS6                2.123       1.366       1.000   59.71%       1.000      1.000      1.000
           12250.000       2.699       0.886       7.000    3.04%       2.000      4.000
     CHAOS7                1.840       1.878       1.000   73.87%       1.000      1.000      1.000
           12250.000       2.507       2.542       7.000    3.32%       1.000      2.000

RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES

Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:

         -146298.266  471398           74
         -146298.266  814975           129
         -146298.266  793035           187
         -146298.266  12477            155
         -146298.266  484501           163
         -146298.266  211281           292
         -146298.266  39136            226
         -146298.266  349263           263
         -146298.266  939709           112
         -146298.266  377504           294
         -146298.266  292884           103
         -146298.266  840031           276
         -146298.266  782821           272
         -146298.266  321390           133
         -146298.266  316165           299
         -146298.266  220454           288
         -146298.266  695155           150
         -146298.266  579995           183
         -146298.266  195873           6
         -146298.266  533738           11
         -146298.266  131856           90
         -146298.266  399671           13
         -146298.266  170118           238
         -146298.266  551639           55
         -146298.266  688839           273
         -146298.266  587946           120
         -146298.266  303634           169
         -146298.266  576726           280
         -146298.266  153942           31
         -146298.266  329127           185
         -146298.266  120506           45
         -146298.266  281558           184
         -146298.266  483369           270
         -146298.266  696773           80
         -146298.266  405079           68
         -146298.266  783165           170
         -146298.266  76337            76
         -146298.266  937588           293
         -146298.266  481835           57
         -146298.266  40340            188
         -146298.266  123985           248
         -146298.266  717754           180
         -146298.266  963053           43
         -146298.266  967902           52
         -146298.266  175199           247
         -146298.266  617243           237
         -146298.266  606576           151
         -146298.266  264935           281
         -146298.266  393232           152
         -146298.266  851945           18
         -146298.266  432148           30
         -146298.266  997222           229
         -146298.266  263268           165
         -146298.266  848890           95
         -146298.266  30098            209
         -146298.266  195353           225
         -146298.266  569131           26
         -146298.266  860772           174
         -146298.266  215353           164
         -146298.266  354559           73
         -146298.266  80438            246
         -146298.266  926283           269
         -146298.266  648555           113
         -146298.266  422103           62
         -146298.266  364676           27
         -146298.266  246261           38
         -146298.266  576596           99
         -146298.266  76451            211
         -146298.266  991329           182
         -146298.266  387701           275
         -146298.266  741888           138
         -146298.266  848331           137
         -146298.266  68985            17
         -146298.266  188498           258
         -146298.266  748692           204
         -146298.266  824126           287
         -146298.266  642909           251
         -146298.266  544048           87
         -146298.266  794236           127
         -146298.266  344422           296
         -146298.266  369602           146
         -146298.266  25127            107
         -146298.266  281462           285
         -146298.266  314084           81
         -146298.266  341041           34
         -146298.266  156536           245
         -146298.266  783110           72
         -146298.266  562716           300
         -146298.266  520177           262
         -146298.266  475420           71
         -146298.266  749453           33
         -146298.266  723775           97
         -146298.266  373505           88
         -146298.266  813779           92
         -146298.266  645664           39
         -146298.266  286735           175
         -146298.266  372176           23
         -146298.266  592219           119
         -146298.266  127215           9
         -146298.266  754100           56
         -146298.266  462228           298
         -146298.266  728038           177
         -146298.266  100874           108
         -146298.266  972873           157
         -146298.266  458181           189
         -146298.266  57226            208
         -146298.266  609089           241
         -146298.266  686482           215
         -146298.266  871851           257
         -146298.266  392418           28
         -146298.266  535804           111
         -146298.266  407168           44
         -146298.266  436460           89
         -146298.266  966014           37
         -146298.266  575700           100
         -146298.266  761633           50
         -146298.267  913639           162
         -146298.267  496881           192
         -146298.267  948615           140
         -146298.267  573096           20
         -146298.267  618000           190
         -146298.267  608460           244
         -146298.267  340112           126
         -146298.267  850840           232
         -146298.267  973369           202
         -146298.267  565819           65
         -146298.267  957392           79
         -146298.267  190339           102
         -146298.267  391949           295
         -146298.267  246575           291
         -146298.267  673496           218
         -146298.267  202790           198
         -146298.267  107446           12
         -146298.267  247224           94
         -146298.267  846194           93
         -146298.267  479273           156
         -146298.267  476498           179
         -146298.267  570908           98
         -146298.267  835767           210
         -146298.267  462953           7
         -146298.267  unperturbed      0
         -146298.267  568405           233
         -146298.267  36714            201
         -146298.267  391179           78
         -146298.267  603842           61
         -146298.267  466971           109
         -146298.267  178475           231
         -146298.267  939021           8
         -146298.267  264081           186
         -146298.267  232226           235
         -146298.267  887676           22
         -146298.267  415931           10
         -146298.267  499150           216
         -146298.267  622860           259
         -146298.267  915642           40
         -146298.267  358488           264
         -146298.267  301180           236
         -146298.267  311214           64
         -146298.267  751153           110
         -146298.267  7959             256
         -146298.267  411615           171
         -146298.267  260601           36
         -146298.267  415502           194
         -146298.267  318230           46
         -146298.267  848163           47
         -146298.267  788796           145
         -146298.267  22089            143
         -146298.267  468036           131
         -146298.267  268217           83
         -146298.267  253358           2
         -146298.267  512836           289
         -146298.267  46437            153
         -146298.267  267983           228
         -146298.267  467339           66
         -146298.267  345070           114
         -146298.267  471438           252
         -146298.267  691234           250
         -146298.267  85462            51
         -146298.267  635245           121
         -146298.267  97158            205
         -146298.267  915107           54
         -146298.267  464179           106
         -146298.267  760878           249
         -146298.267  626891           32
         -146298.267  17359            227
         -146298.267  715561           125
         -146298.267  89970            223
         -146298.267  347515           24
         -146298.267  791396           243
         -146298.267  967237           48
         -146298.267  608849           224
         -146298.267  526324           178
         -146298.267  830392           35
         -146298.267  674171           195
         -146298.267  73576            213
         -146298.267  443917           60
         -146298.267  136842           58
         -146298.267  232559           136
         -146298.267  945065           255
         -146298.267  192071           142
         -146298.267  930872           277
         -146298.267  797594           234
         -146298.267  370466           41
         -146298.267  569833           85
         -146298.267  629320           222
         -146524.659  930323           267
         -146524.659  383986           159
         -146524.659  580405           286
         -146524.659  165853           105
         -146524.659  654136           167
         -146524.659  27071            15
         -146524.659  752769           253
         -146524.659  608496           4
         -146524.659  902278           21
         -146524.659  152496           123
         -146524.659  207896           25
         -146524.659  804561           59
         -146524.659  414284           158
         -146524.659  804660           260
         -146524.659  726035           191
         -146524.659  118421           139
         -146524.659  960438           116
         -146524.659  568859           49
         -146524.659  597614           284
         -146524.659  59674            240
         -146524.659  903420           5
         -146524.659  43523            297
         -146524.659  534483           290
         -146524.659  285380           1
         -146524.659  399848           220
         -146524.659  802779           122
         -146524.659  417035           149
         -146524.659  319144           176
         -146524.659  789985           67
         -146524.659  124999           96
         -146524.659  438144           271
         -146524.659  782200           84
         -146524.659  402224           91
         -146524.659  637345           19
         -146524.659  848969           173
         -151273.866  51375            148
         -151273.866  509733           130
         -151273.866  694303           282
         -151273.866  49221            254
         -151273.866  529455           268
         -151273.866  297518           166
         -151273.866  950604           172
         -151343.221  992389           77
         -151343.221  784664           75
         -151343.221  840078           203
         -151343.221  76974            16
         -151343.221  636396           168
         -151343.221  637095           207
         -151343.221  65651            214
         -151343.221  685657           69
         -151343.221  856536           144
         -151343.221  170954           86
         -151343.221  66276            217
         -151343.221  987090           70
         -151343.221  392407           221
         -151343.221  928287           197
         -151356.490  701525           239
         -151356.490  259507           53
         -151356.490  93468            3
         -151356.490  616917           261
         -151356.490  282464           283
         -151356.490  437181           135
         -151356.490  268896           124
         -151356.490  150531           154
         -151655.015  576220           115
         -151655.015  366706           29
         -151655.015  650371           14
         -151655.015  284109           82
         -151655.015  903369           134
         -151655.015  570782           193
         -151655.015  821011           161
         -151655.015  545140           278
         -151655.015  168762           200
         -151824.238  931874           141
         -151824.238  456213           160
         -151824.238  70118            104
         -151824.238  352277           42
         -151824.238  354208           196
         -151824.238  181293           212
         -151824.238  21345            199
         -151824.238  455617           242
         -151824.238  227563           63

13 perturbed starting value run(s) did not converge or were rejected in the third stage.



THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED.  RERUN WITH AT LEAST TWICE THE
RANDOM STARTS TO CHECK THAT THE BEST LOGLIKELIHOOD IS STILL OBTAINED AND REPLICATED.


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       50

Loglikelihood

          H0 Value                     -146298.266
          H0 Scaling Correction Factor      2.6871
            for MLR

Information Criteria

          Akaike (AIC)                  292696.533
          Bayesian (BIC)                293067.197
          Sample-Size Adjusted BIC      292908.302
            (n* = (n + 2) / 24)



MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER

   G  C


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THE ESTIMATED MODEL

  Latent Class
    Pattern

    1  1       3443.49022          0.28110
    1  2        502.06875          0.04099
    1  3        825.53835          0.06739
    1  4        228.90266          0.01869
    2  1       3556.26416          0.29031
    2  2        668.14460          0.05454
    2  3        745.37309          0.06085
    2  4        135.21815          0.01104
    3  1        688.73760          0.05622
    3  2         89.85855          0.00734
    3  3        162.84556          0.01329
    3  4        103.55829          0.00845
    4  1        655.82696          0.05354
    4  2        126.88605          0.01036
    4  3        227.99524          0.01861
    4  4         89.29177          0.00729


FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL

  Latent Class
    Variable    Class

    G              1      5000.00049          0.40816
                   2      5105.00000          0.41673
                   3      1045.00000          0.08531
                   4      1100.00000          0.08980
    C              1      8344.31934          0.68117
                   2      1386.95789          0.11322
                   3      1961.75220          0.16014
                   4       556.97089          0.04547


LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL

  G Classes (Rows) by C Classes (Columns)

            1        2        3        4

   1     0.689    0.100    0.165    0.046
   2     0.697    0.131    0.146    0.026
   3     0.659    0.086    0.156    0.099
   4     0.596    0.115    0.207    0.081


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES

  Latent Class
    Pattern

    1  1       3443.47588          0.28110
    1  2        502.08270          0.04099
    1  3        825.53780          0.06739
    1  4        228.90360          0.01869
    2  1       3556.24371          0.29031
    2  2        668.16413          0.05454
    2  3        745.37346          0.06085
    2  4        135.21870          0.01104
    3  1        688.73490          0.05622
    3  2         89.86112          0.00734
    3  3        162.84553          0.01329
    3  4        103.55846          0.00845
    4  1        655.82276          0.05354
    4  2        126.89004          0.01036
    4  3        227.99529          0.01861
    4  4         89.29192          0.00729


FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON ESTIMATED POSTERIOR PROBABILITIES

  Latent Class
    Variable    Class

    G              1      5000.00000          0.40816
                   2      5105.00000          0.41673
                   3      1045.00000          0.08531
                   4      1100.00000          0.08980
    C              1      8344.27734          0.68117
                   2      1386.99792          0.11322
                   3      1961.75208          0.16014
                   4       556.97266          0.04547


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN

Class Counts and Proportions

  Latent Class
    Pattern

    1  1             3454          0.28199
    1  2              488          0.03987
    1  3              827          0.06748
    1  4              231          0.01883
    2  1             3578          0.29205
    2  2              644          0.05254
    2  3              748          0.06104
    2  4              136          0.01110
    3  1              690          0.05630
    3  2               88          0.00721
    3  3              163          0.01331
    3  4              104          0.00849
    4  1              657          0.05363
    4  2              125          0.01020
    4  3              230          0.01876
    4  4               88          0.00721


FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN

  Latent Class
    Variable    Class

    G              1            4999          0.40816
                   2            5105          0.41673
                   3            1045          0.08531
                   4            1100          0.08980
    C              1            8378          0.68396
                   2            1345          0.10982
                   3            1967          0.16059
                   4             559          0.04564


CLASSIFICATION QUALITY

     Entropy                         0.985


MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

Parameters in the Overall Part of the Model (Parameters Equal in All of the Classes)

 Variances
    CHAOS1             0.975      0.038     25.437      0.000
    CHAOS2             1.315      0.044     30.107      0.000
    CHAOS3             0.801      0.051     15.819      0.000
    CHAOS4             1.676      0.047     35.537      0.000
    CHAOS5             2.014      0.037     53.958      0.000
    CHAOS6             1.292      0.033     39.172      0.000
    CHAOS7             0.207      0.014     14.497      0.000

Parameters for Class-specific Model Parts

Latent Class Pattern 1 1

 Means
    CHAOS1             1.151      0.009    128.326      0.000
    CHAOS2             1.299      0.015     85.042      0.000
    CHAOS3             1.199      0.012     96.381      0.000
    CHAOS4             1.803      0.023     77.915      0.000
    CHAOS5             2.260      0.022    101.288      0.000
    CHAOS6             1.436      0.013    110.890      0.000
    CHAOS7             1.074      0.004    240.016      0.000

Latent Class Pattern 1 2

 Means
    CHAOS1             2.062      0.066     31.402      0.000
    CHAOS2             3.483      0.112     31.124      0.000
    CHAOS3             3.895      0.108     36.072      0.000
    CHAOS4             4.402      0.066     66.423      0.000
    CHAOS5             4.335      0.054     79.693      0.000
    CHAOS6             2.490      0.064     39.190      0.000
    CHAOS7             1.290      0.019     68.311      0.000

Latent Class Pattern 1 3

 Means
    CHAOS1             3.536      0.038     92.266      0.000
    CHAOS2             3.697      0.035    105.013      0.000
    CHAOS3             3.685      0.035    104.721      0.000
    CHAOS4             3.903      0.029    133.586      0.000
    CHAOS5             3.922      0.028    140.406      0.000
    CHAOS6             3.685      0.035    104.948      0.000
    CHAOS7             4.142      0.034    120.998      0.000

Latent Class Pattern 1 4

 Means
    CHAOS1             6.049      0.103     58.836      0.000
    CHAOS2             6.089      0.090     67.411      0.000
    CHAOS3             6.108      0.100     61.329      0.000
    CHAOS4             5.896      0.085     69.603      0.000
    CHAOS5             5.685      0.090     63.509      0.000
    CHAOS6             5.991      0.095     62.965      0.000
    CHAOS7             6.573      0.036    180.414      0.000

Latent Class Pattern 2 1

 Means
    CHAOS1             1.151      0.009    128.326      0.000
    CHAOS2             1.299      0.015     85.042      0.000
    CHAOS3             1.199      0.012     96.381      0.000
    CHAOS4             1.803      0.023     77.915      0.000
    CHAOS5             2.260      0.022    101.288      0.000
    CHAOS6             1.436      0.013    110.890      0.000
    CHAOS7             1.074      0.004    240.016      0.000

Latent Class Pattern 2 2

 Means
    CHAOS1             2.062      0.066     31.402      0.000
    CHAOS2             3.483      0.112     31.124      0.000
    CHAOS3             3.895      0.108     36.072      0.000
    CHAOS4             4.402      0.066     66.423      0.000
    CHAOS5             4.335      0.054     79.693      0.000
    CHAOS6             2.490      0.064     39.190      0.000
    CHAOS7             1.290      0.019     68.311      0.000

Latent Class Pattern 2 3

 Means
    CHAOS1             3.536      0.038     92.266      0.000
    CHAOS2             3.697      0.035    105.013      0.000
    CHAOS3             3.685      0.035    104.721      0.000
    CHAOS4             3.903      0.029    133.586      0.000
    CHAOS5             3.922      0.028    140.406      0.000
    CHAOS6             3.685      0.035    104.948      0.000
    CHAOS7             4.142      0.034    120.998      0.000

Latent Class Pattern 2 4

 Means
    CHAOS1             6.049      0.103     58.836      0.000
    CHAOS2             6.089      0.090     67.411      0.000
    CHAOS3             6.108      0.100     61.329      0.000
    CHAOS4             5.896      0.085     69.603      0.000
    CHAOS5             5.685      0.090     63.509      0.000
    CHAOS6             5.991      0.095     62.965      0.000
    CHAOS7             6.573      0.036    180.414      0.000

Latent Class Pattern 3 1

 Means
    CHAOS1             1.151      0.009    128.326      0.000
    CHAOS2             1.299      0.015     85.042      0.000
    CHAOS3             1.199      0.012     96.381      0.000
    CHAOS4             1.803      0.023     77.915      0.000
    CHAOS5             2.260      0.022    101.288      0.000
    CHAOS6             1.436      0.013    110.890      0.000
    CHAOS7             1.074      0.004    240.016      0.000

Latent Class Pattern 3 2

 Means
    CHAOS1             2.062      0.066     31.402      0.000
    CHAOS2             3.483      0.112     31.124      0.000
    CHAOS3             3.895      0.108     36.072      0.000
    CHAOS4             4.402      0.066     66.423      0.000
    CHAOS5             4.335      0.054     79.693      0.000
    CHAOS6             2.490      0.064     39.190      0.000
    CHAOS7             1.290      0.019     68.311      0.000

Latent Class Pattern 3 3

 Means
    CHAOS1             3.536      0.038     92.266      0.000
    CHAOS2             3.697      0.035    105.013      0.000
    CHAOS3             3.685      0.035    104.721      0.000
    CHAOS4             3.903      0.029    133.586      0.000
    CHAOS5             3.922      0.028    140.406      0.000
    CHAOS6             3.685      0.035    104.948      0.000
    CHAOS7             4.142      0.034    120.998      0.000

Latent Class Pattern 3 4

 Means
    CHAOS1             6.049      0.103     58.836      0.000
    CHAOS2             6.089      0.090     67.411      0.000
    CHAOS3             6.108      0.100     61.329      0.000
    CHAOS4             5.896      0.085     69.603      0.000
    CHAOS5             5.685      0.090     63.509      0.000
    CHAOS6             5.991      0.095     62.965      0.000
    CHAOS7             6.573      0.036    180.414      0.000

Latent Class Pattern 4 1

 Means
    CHAOS1             1.151      0.009    128.326      0.000
    CHAOS2             1.299      0.015     85.042      0.000
    CHAOS3             1.199      0.012     96.381      0.000
    CHAOS4             1.803      0.023     77.915      0.000
    CHAOS5             2.260      0.022    101.288      0.000
    CHAOS6             1.436      0.013    110.890      0.000
    CHAOS7             1.074      0.004    240.016      0.000

Latent Class Pattern 4 2

 Means
    CHAOS1             2.062      0.066     31.402      0.000
    CHAOS2             3.483      0.112     31.124      0.000
    CHAOS3             3.895      0.108     36.072      0.000
    CHAOS4             4.402      0.066     66.423      0.000
    CHAOS5             4.335      0.054     79.693      0.000
    CHAOS6             2.490      0.064     39.190      0.000
    CHAOS7             1.290      0.019     68.311      0.000

Latent Class Pattern 4 3

 Means
    CHAOS1             3.536      0.038     92.266      0.000
    CHAOS2             3.697      0.035    105.013      0.000
    CHAOS3             3.685      0.035    104.721      0.000
    CHAOS4             3.903      0.029    133.586      0.000
    CHAOS5             3.922      0.028    140.406      0.000
    CHAOS6             3.685      0.035    104.948      0.000
    CHAOS7             4.142      0.034    120.998      0.000

Latent Class Pattern 4 4

 Means
    CHAOS1             6.049      0.103     58.836      0.000
    CHAOS2             6.089      0.090     67.411      0.000
    CHAOS3             6.108      0.100     61.329      0.000
    CHAOS4             5.896      0.085     69.603      0.000
    CHAOS5             5.685      0.090     63.509      0.000
    CHAOS6             5.991      0.095     62.965      0.000
    CHAOS7             6.573      0.036    180.414      0.000

Categorical Latent Variables

 C#1      ON
    G#1                0.717      0.157      4.564      0.000
    G#2                1.276      0.170      7.486      0.000
    G#3               -0.099      0.185     -0.536      0.592

 C#2      ON
    G#1                0.434      0.193      2.245      0.025
    G#2                1.246      0.205      6.074      0.000
    G#3               -0.493      0.252     -1.955      0.051

 C#3      ON
    G#1                0.345      0.176      1.963      0.050
    G#2                0.770      0.190      4.052      0.000
    G#3               -0.485      0.216     -2.241      0.025

 Means
    G#1                1.514      0.038     39.716      0.000
    G#2                1.535      0.039     39.821      0.000
    G#3               -0.051      0.051     -0.996      0.319
    C#1                1.994      0.135     14.761      0.000
    C#2                0.351      0.174      2.022      0.043
    C#3                0.937      0.152      6.156      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.605E-05
       (ratio of smallest to largest eigenvalue)


SAVEDATA INFORMATION


  Save file
    classmgaproblike.dat

  Order and format of variables

    CHAOS1         F10.3
    CHAOS2         F10.3
    CHAOS3         F10.3
    CHAOS4         F10.3
    CHAOS5         F10.3
    CHAOS6         F10.3
    CHAOS7         F10.3
    CPROB1         F10.3
    CPROB2         F10.3
    CPROB3         F10.3
    CPROB4         F10.3
    CPROB5         F10.3
    CPROB6         F10.3
    CPROB7         F10.3
    CPROB8         F10.3
    CPROB9         F10.3
    CPROB10        F10.3
    CPROB11        F10.3
    CPROB12        F10.3
    CPROB13        F10.3
    CPROB14        F10.3
    CPROB15        F10.3
    CPROB16        F10.3
    G              F10.3
    C              F10.3
    MLCJOINT       F10.3
    WEIGHT         F10.3
    IDMG           I8
    GROUP          I2

  Save file format
    27F10.3 I8 I2

  Save file record length    10000


DIAGRAM INFORMATION

  Mplus diagrams are currently not available for Mixture analysis.
  No diagram output was produced.


     Beginning Time:  23:19:17
        Ending Time:  23:55:16
       Elapsed Time:  00:35:59



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